headroom
★ 77.5k
vs
DeepSleep-beta
★ 36
headroom vs DeepSleep-beta
headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.; DeepSleep-beta: DeepSleep is a local-first AI coding memory that watches your files while you work, generates summaries when idle, and answers 'what was I working on?' instantly. It works with Ollama, VS Code, Cursor, Windsurf, Claude Desktop, and MCP, with cross-project search via Neural Link. Completely free, no cloud, no API key.
01
TL;DR
headroomMemory & Context · ★ 77.5k
When to choose:
- Long tool output, logs, JSON responses or RAG chunks are driving up cost or hurting answers.
- You want compression without code changes: run it as a local proxy, an MCP server, or by wrapping Claude Code, Codex or Cursor.
- Compression must run locally, with originals cached so the model can retrieve the full text.
When to skip:
- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.
- You cannot add a component that must keep running and may add latency.
- Your tasks cannot tolerate lossy compression: verify answer quality on your own work first.
DeepSleep-betaMemory & Context · ★ 36
Instantly resume work context after a break without re-explaining to AI
02
Side-by-Side Comparison
Field
headroomDeepSleep-betaCategory
Memory & Context
Memory & Context
Stars
★ 77.5k
★ 36
License
Apache-2.0
MIT
Install Command
pip install "headroom-ai[all]"
pip install deepsleep-ai && ds init && ds dream
Updated
1d ago
5mo ago
Open Source
Yes
Yes
Tags
Context Compression, Token Optimization, AI Agents
ai, cli, coding-assistant
03
Features
headroom01In-app library for compression (Python/TypeScript)
02Zero-code-change proxy mode
03One-command agent wrapping for various AI agents
04Cross-agent shared memory and auto-deduplication
05Reversible compression (CCR) with original content retrieval
DeepSleep-beta01Local-first memory: all data stays on your machine
02Idle-time dreaming: auto-generates session summaries when inactive
03Neural Link cross-project search across entire machine
04MCP server integration for Cursor, Claude Desktop, Windsurf
05VS Code Extension with Memory Sidebar
04
Use Cases
headroom↳Reduce LLM token usage and API costs for AI agents.
↳Enable shared context and memory across multiple AI agents.
↳Optimize coding agents by compressing tool outputs, logs, and RAG chunks.
↳Maintain full data fidelity with reversible context compression.
DeepSleep-beta↳Instantly resume work context after a break without re-explaining to AI
↳Search across all projects for a solved bug or code pattern
↳Let AI remember your project goals and decisions across sessions
05
Best For
headroomMost PopularEssential
DeepSleep-beta—
FAQ
FAQ
What is the difference between headroom and DeepSleep-beta?
Both headroom and DeepSleep-beta are in the Memory & Context category. headroom has 77.5k stars, while DeepSleep-beta has 36 stars.
Which is better, headroom or DeepSleep-beta?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and DeepSleep-beta if Instantly resume work context after a break without re-explaining to AI.
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is DeepSleep-beta free or open source?
Yes, DeepSleep-beta is open source on GitHub (MIT).
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